A robust optimisation framework in composite generation and transmission expansion planning considering inherent uncertainties

This paper presents a robust optimisation framework for long-term composite generation and transmission expansion planning problem which considers inherent uncertainties such as load growth, fuel cost and renewable energy output uncertainties. In this paper, a bi-level robust optimisation framework...

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Bibliographic Details
Published in:Journal of experimental & theoretical artificial intelligence 2017-07, Vol.29 (4), p.717-730
Main Authors: Mansouri, Seyed Amir, Javadi, Mohammad Sadegh
Format: Article
Language:English
Subjects:
Bismuth
Buses (vehicles)
Computer simulation
Expansion
Fuels
Generation and transmission expansion planning
inherent uncertainties
Loads (forces)
Minimum cost
Monte Carlo simulation
off-line lattice Monte Carlo simulation
Optimization
Renewable energy
robust optimisation
Robustness
Test procedures
Uncertainty
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Summary:This paper presents a robust optimisation framework for long-term composite generation and transmission expansion planning problem which considers inherent uncertainties such as load growth, fuel cost and renewable energy output uncertainties. In this paper, a bi-level robust optimisation framework is proposed to accommodate wind output uncertainty in line with the uncertain demanded loads and uncertain fuel cost. The addressed optimisation problem is modelled as a mixed-integer optimisation framework with the objective of providing a robust expansion plan while maintaining the minimum cost expansion. In order to evaluate the robustness of each plan, an off-line Lattice Monte Carlo simulation technique is adopted in this study. The validity of the proposed method is examined on a simple six-bus and modified IEEE 118-bus test system as a large-scale case study. The simulation results show that the presented method is both satisfactory and consistent with expectation.
ISSN:0952-813X
1362-3079
DOI:10.1080/0952813X.2016.1259262